Redis vs Dragonfly: A Hands-On Comparison
I have used Redis on almost every backend project I can remember. Caching, sessions, rate limiting, queues, the occasional bit of temporary state th…
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Caching from Zero to Production
Every backend eventually hits the same wall: the database cannot keep up, but the data barely changes. That is the moment caching stops being an opt…
Разбор популярного тестового задания с упором на системный дизайн
Эта статья может быть полезна студентам и начинающим специалистам, занимающимся разработкой веб-сервисов. Примеры кода приводятся на языке Go, некот…
When Redis goes down, does your app die?
The Problem: The App Dies There was an incident that caused our application to fail because our Redis cache went down. It was in the middle of movin…
How hot do you like it?
The real economics of Redis tiered storage, and why you might be paying too much for hot data The concept of splitting data resident in a Redis™ clu…
Building a Temporary Message Sharing API with NestJS, PostgreSQL, Prisma & Redis
I recently built a temporary message-sharing API from scratch using NestJS, PostgreSQL, Prisma and Redis . The idea is simple: Create a message, gen…
Ten Million Keys, One Missing Index
This article explores how a per-entity index improves Redis cache invalidation by replacing repeated full-keyspace scans with targeted lookups. All…
Redis Is Not Your Database: Designing Cache Failures, Fallbacks, and Resilient Backends
Redis can make a backend dramatically faster. It can also make a backend dramatically more fragile if the architecture treats the cache as a depende…
I Thought Redis Would Save My API. Just 500 Requests Proved Me Wrong.
As our series continues, Deep-Dive Backend Systems Roadmap. I created the simplest weather API backend, calling the other API to get weather data an…
Memory efficiency: bytes per key
Part 5 of 7 · ← Latency under load · Next: Operational simplicity → Part 5. The shortest post in the series, and the least arguable number in it — b…
Nexus Core v1.7.0: Moving from MongoDB-Centric to Multi-Database Architecture
Nexus Core v1.7.0: Moving from MongoDB-Centric to Multi-Database Architecture Today I released Nexus Core v1.7.0 , and this is one of the most impor…
Valkey 9.1's memory saving stops at 97 bytes, not the 128 in the release notes
Valkey 9.1 shipped in May with a line in the announcement that caught my eye: "Internal pointer optimizations bring up to a 20% memory reduction for…
Any Language, One Store: How Zaris Speaks the Redis Protocol
Zaris is a distributed key/value store built for .NET, with its own binary protocol and native .NET clients. With 2.0.0, every Zaris node can also e…
A rate limiter changes when it leaves memory
A rate limiter changes when it leaves memory Rate limiting can start with a Map and a counter. That is enough for a single process. The design chang…
How to do work queuing?
Introduction One of the important things to consider for this CI/CD tool is how to execute the different jobs. CI/CD jobs are long running and can t…
Why Your Express API Needs Redis Rate Limiting Before You Scale published: true
When I was building my backend API, I realized a big problem: anyone could spam my endpoints. If a user repeatedly reloads a page or hits an endpoin…
Shopify Replaced Redis With MySQL for Inventory Reservations — and It Scaled Better
Shopify just did something that would make most engineers do a double-take: they replaced Redis with MySQL for their inventory reservation system, a…
Directus + Coolify: Should You Decouple Postgres & Redis?
This is Part 2 of the Directus + Coolify series. If you're new here, start with "Secure Your VPS Before Hackers Do" and the first Directus + Coolify…
Correctness Has a Price: We Benchmarked Fair Leaderboards
Engineering posts often end with: The new design is correct, scalable, and fast. Fast compared with what? When we changed Podium so tied players ran…
Redis Cluster Won't Shard Your Hot Leaderboard
"We use Redis Cluster" can mean two very different things: Our dataset is distributed across Redis nodes. Every individual data structure is distrib…
How redis-packhash Helps You Leverage Listpack Hashes in Redis
In my earlier post , I showed that storing a million small values as Redis keys is a waste of memory. It's because every key has its own overhead. T…
Building Resilient Real-Time Systems: WebSockets and Redis for High Availability
Originally published on tamiz.pro . Building real-time systems that can withstand failures, scale under load, and maintain consistent state is a sig…
A Small Refresh Bug That Uncovered Security Gaps in My OTP System
The Bug That Started It All It began as a small bug I found myself while testing: OTP verification kept failing whenever I refreshed the page, opene…
Caching Strategies for a SaaS
In Disaster Recovery and Backups , we made peace with the database disappearing entirely: accept it can happen, and make recovery boring and rehears…
Redis Data Structures: An Overview
The reason Redis solves so many problems is that it isn't one thing, it's a collection of data structures, each with commands tuned for a specific a…
Next.js ISR and On-Demand Revalidation — Caching Without Staleness
Incremental Static Regeneration (ISR) is one of the more powerful caching strategies in Next.js — and one that's often misconfigured in ways that ei…
Your Python rate limiter is lying to you the moment you add a second server
Most rate-limiter tutorials show you a tidy little token bucket that works perfectly — on one machine. Then you deploy to production, where you're r…
How I Built a Production Ready Microservice Notification System with NestJS, Redis, Bull Queues, and Docker
I built a real time notification microservice with NestJS, Redis, PostgreSQL, and Docker. When you are building a system that needs to deliver notif…
Stream Postgres WAL to Redis: Real-Time Read Models with pg2redis
Real-time data pipelines are becoming a normal part of application architecture. Product pages need fresh stock counts, order status screens need fa…
Beyond the Cache Miss: Designing Resilient Caching Layers with Redis Degradation Strategies
1. The Anatomy of a Cache Disaster To design a solution, we must first analyze how cache failures manifest as systemic outages. Consider a standard…